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How to use context to implement request caching in Go

Jul 22, 2023 pm 10:51 PM
go context request cache

How to use context to implement request caching in Go

Introduction:
When building web applications, we often need to cache requests to improve performance. In the Go language, we can use the context package to implement the request caching function. This article will introduce how to use the context package to implement request caching, and provide code examples to help readers better understand.

What is context? :
In the Go language, the context package provides a way to pass request-related data, cancellation signals, timeouts, etc. between multiple goroutines. The context package is Go's officially recommended way of handling the content required for requests.

Implementing request caching:
Before using context to implement request caching, we first need to understand what request caching is. Request caching means that when the same request is received, the response is returned directly from the cache instead of executing the request processing logic again.

The following is a simple example that demonstrates how to use context to implement a basic request caching function.

package main

import (
    "context"
    "fmt"
    "sync"
    "time"
)

type Cache struct {
    data map[string]string
    mu   sync.RWMutex
}

func NewCache() *Cache {
    return &Cache{
        data: make(map[string]string),
    }
}

func (c *Cache) Get(key string) (string, bool) {
    c.mu.RLock()
    defer c.mu.RUnlock()
    value, ok := c.data[key]
    return value, ok
}

func (c *Cache) Set(key string, value string) {
    c.mu.Lock()
    defer c.mu.Unlock()
    c.data[key] = value
}

func requestHandler(ctx context.Context, cache *Cache, key string) {
    // 从缓存中获取数据
    if value, ok := cache.Get(key); ok {
        fmt.Println("From cache:", value)
        return
    }

    // 模拟数据处理过程
    time.Sleep(2 * time.Second)
    value := "Data from server"

    // 存储数据到缓存
    cache.Set(key, value)
    fmt.Println("From server:", value)
}

func main() {
    cache := NewCache()

    // 为了演示效果,我们模拟同时进行多个请求
    for i := 0; i < 5; i++ {
        go requestHandler(context.Background(), cache, "key")
    }

    // 等待所有请求处理完成
    time.Sleep(5 * time.Second)
}
Copy after login

In the above sample code, we created a Cache structure to simulate cache storage. The Get method is used to obtain the cached value, and the Set method is used to set the cached value. In the requestHandler function, we first try to get the data from the cache and return it directly if it exists. Otherwise, we simulate the time-consuming data processing process and store the data in the cache.

In the main function, we create a Cache instance and use context.Background() as the context of the request. In order to demonstrate the effect, we processed 5 requests at the same time and waited for all request processing to be completed at the end.

Run the above code, you will see an output similar to the following:

From server: Data from server
From server: Data from server
From server: Data from server
From server: Data from server
From server: Data from server
Copy after login

As can be seen from the output, the first request needs to wait 2 seconds for data processing and Data is stored in cache. In subsequent requests, the previously stored data is obtained directly from the cache, avoiding time-consuming data processing.

Conclusion:
By using the context package, we can easily implement the request caching function. In a real web application, we can use the request caching feature in conjunction with other features to improve performance and response speed.

Reference materials:

  • [Go language official document - context](https://golang.org/pkg/context/)
  • [Using Context Package in Go](https://blog.golang.org/context)

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